HiTemp: High Density Temperature measurements within the Urban Birmingham Conurbation.
Update Frequency: Not Planned
Online Status: ONLINE
Publication State: Citable
Publication Date: 2015-01-20
DOI Publication Date: 2016-03-01
Download Stats: last 12 months
Dataset Size: 9.27K Files | 447MB
Temperature data from a high density network of meteorological sensors installed within the Birmingham conurbation: low-cost, battery-powered WiFi Aginova Sentinel Micro air temperature sensors were operated at 73 stations between 2012-14.
These measurements have been made by the Birmingham Urban Climate Laboratory (BUCL) for the HiTemp (High Density Measurements within the Urban Environment) project in order to study the Birmingham Urban Heat Island (UHI)
Citable as: Warren, E.; Chapman, L.; Muller, C.L.; Young, D.T.; Cai, X.; Grimmond, C.S.B. (2016): HiTemp: High Density Temperature measurements within the Urban Birmingham Conurbation.. Centre for Environmental Data Analysis, 01 March 2016. doi:10.5285/48316483-edfe-4009-9898-da41bf3023bd. https://dx.doi.org/10.5285/48316483-edfe-4009-9898-da41bf3023bd
Keywords: HiTemp, BUCL, UHI, network of sensors, urban heat island
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|Previously used record identifiers:||
No related previous identifiers.
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data received from BUCL team and stored at CEDA. Converted to BADC-csv format by CEDA staff
Data are BADC-CSV formatted
This dataset was generated by instruments deployed on platforms as listed below.
|Aginova Sentinel Micro Temperature sensor||Deployed on: Birmingham Urban Climate Laboratory (BUCL) network of sites for HiTemp|
- long_name: Air Temperature
- names: Air Temperature
- long_name: Data Quality Control Flag
- names: Data Quality Control Flag
- long_name: Date of observation
- names: Date of observation
- long_name: Time of observation
- names: Time of observation